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Abdul Fatir Ansari

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Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

Jul 21, 2023
Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang

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Generative Modeling with Flow-Guided Density Ratio Learning

Mar 07, 2023
Alvin Heng, Abdul Fatir Ansari, Harold Soh

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Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series

Jan 31, 2023
Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh

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Deep Explicit Duration Switching Models for Time Series

Oct 26, 2021
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski

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Refining Deep Generative Models via Wasserstein Gradient Flows

Dec 01, 2020
Abdul Fatir Ansari, Ming Liang Ang, Harold Soh

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Event-Driven Visual-Tactile Sensing and Learning for Robots

Sep 15, 2020
Tasbolat Taunyazov, Weicong Sng, Hian Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh

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A Characteristic Function Approach to Deep Implicit Generative Modeling

Sep 16, 2019
Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh

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Hyperprior Induced Unsupervised Disentanglement of Latent Representations

Sep 17, 2018
Abdul Fatir Ansari, Harold Soh

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